Training materials
Resource type: hands-on tutorial
and Authors: Allegra Via or Gary Bader or Guillaume Gricourt or Kaivan Kamali or Maria Lehtivaara
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hands-on tutorial
Hands-on for 'Evaluating and ranking a set of pathways based on multiple metrics' tutorial
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hands-on tutorial
Hands-on for 'Designing plasmids encoding predicted pathways by using the BASIC assembly method' tutorial
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hands-on tutorial
Hands-on for 'Generating theoretical possible pathways for the production of Lycopene in E.Coli using Retrosynthesis tools' tutorial
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial